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Human Nutrition and Metabolism

Calcium Intake Is Associated with Adiposity in Black and White Men and White Women of the HERITAGE Family Study^1,2

Ruth J. F. Loos, Tuomo Rankinen, Arthur S. Leon^*, James S. Skinner, Jack H. Wilmore^**, D. C. Rao and Claude Bouchard³

Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA; ^* Division of Kinesiology, University of Minnesota, Minneapolis, MN; Department of Kinesiology, Indiana University, Bloomington IN; ^** Department of Health and Kinesiology, Texas A&M University, College Station, TX; and Division of Biostatistics, Washington University School of Medicine and Departments of Genetics and Psychiatry, Washington University School of Medicine, St. Louis, MO

³To whom correspondence should be addressed. E-mail: BouchaC{at}pbrc.edu.

	ABSTRACT

TOP ABSTRACT MATERIALS AND METHODS RESULTS DISCUSSION LITERATURE CITED

 
Calcium (Ca²⁺) intake may play a role in the regulation of body weight. Increased Ca²⁺ intake has been associated with lower body weight, BMI, and adiposity measures in cross-sectional studies. We examined the association between Ca²⁺ intake, derived from the Willett FFQ, and overall and abdominal adiposity in Black and White men and women of the HERITAGE Family Study. BMI, the percentage of body fat (%FAT), the sum of 8 skinfold thicknesses, computerized tomography total abdominal fat (TAF), abdominal visceral (AVF) and abdominal subcutaneous (ASF) fat, and waist circumference were measured in 362 men (109 Blacks, 253 Whites) and 462 women (201 Blacks, 261 Whites). Subjects were divided into tertiles of energy-adjusted Ca²⁺ intake. Adiposity measures across tertiles were compared by ANOVA and also regressed against the energy-adjusted Ca²⁺ intake to test for a linear trend. The strongest inverse associations appeared in Black men and White women. Black men in the high Ca²⁺ intake group were leaner than those in the low Ca²⁺ intake group: BMI 23.4 ± 0.9 vs. 26.7 ± 1.1 kg/m² (P = 0.01); for all other adiposity measures, P < 0.05. In White women, regression analyses showed significant inverse associations between Ca²⁺ intake and BMI (P = 0.02), %FAT (P = 0.001), TAF (P = 0.006), AVF (P = 0.03), and ASF (P = 0.01). The percentage of fat of White men in the highest Ca²⁺ intake group was significantly lower than in the lowest Ca²⁺ group (P = 0.04). No significant associations were found in Black women. Low Ca²⁺ intake may be associated with higher adiposity, particularly in men and White women.

KEY WORDS: • dietary calcium intake • body composition • adiposity • abdominal fat • HERITAGE Family Study

Most research on the effects of diet on weight control has focused on the optimal combination of macronutrients, whereas the role of micronutrients has gained much less attention. An emerging body of evidence suggests that calcium (Ca²⁺) intake may play an important role in the regulation of body weight and adiposity (1). More than 20 years ago, a study of the relation between blood pressure and nutrient intake based on data of the 1st National Health and Nutrition Examination Survey (NHANES I)⁴ found a significant inverse association between Ca²⁺ intake and body weight (2). More recent cross-sectional studies confirmed this early finding, with increased Ca²⁺ intake being associated with lower BMI and body weight (1,3–6), less total fat (4,6–9) and abdominal fat (4,6), a lower prevalence of obesity (5), higher fat oxidation, and a lower respiratory quotient (10). For example, in young women, a 1 mg/g increase in the Ca²⁺-to-protein ratio was associated with a 0.186 kg/m² decrease in BMI, which translates into a predicted 0.82-kg body weight reduction for every 100 mg increase in Ca²⁺ intake (3). In middle-aged women, weight gain was estimated to be 0.038 kg/y less for every 1 mg/g increase in the Ca²⁺-to-protein ratio (3). The contribution of Ca²⁺ intake to the variance in body weight was estimated to be 3% (3). Others reported a contribution of Ca²⁺ intake to the variance in fat oxidation of as much as 10% (10). During energy restriction, increasing Ca²⁺ intake markedly reduced body weight and fatness compared with a low Ca²⁺ intake (3,6,11).

Studies in mice support the association between Ca²⁺ intake and body composition. In a study with transgenic mice overexpressing the agouti gene in adipocytes, a low-Ca²⁺ diet resulted in significantly more weight gain compared with calcium-supplemented diets (7). A high-Ca²⁺ diet in energy-restricted mice resulted in a significantly greater reduction in body weight and fat mass compared with a low-Ca²⁺ diet (12).

Until recently, little was known about the mechanisms by which Ca²⁺ intake regulates body weight and adiposity. On the basis of the mouse studies, it was hypothesized that low Ca²⁺ intake leads to increased intracellular concentrations of Ca²⁺ ([Ca²⁺]_i) due to an increase in circulating calcium-regulating hormones. Increased [Ca²⁺]_i reduced lipolysis and enhanced lipogenesis in adipocytes (7). Another potential mechanism was based on findings in rats and stipulated that high Ca²⁺ intake leads to the formation of indigestible calcium soaps in the gastrointestinal tract, which in turn reduces the absorption of dietary energy and substantially increases fecal loss of fatty acids (13). Two randomized trials in humans found that Ca²⁺ supplementation increased the percentage of fecal fatty acid excretion (14,15).

To date, research on the Ca²⁺ intake-adiposity relation in humans has concentrated on BMI and overall adiposity, mainly in White women (3,9,16,17). In the present study, we examined the relation between total Ca²⁺ intake and body composition, including overall and abdominal adiposity, in Black and White men and women of the HERITAGE Family Study.

	MATERIALS AND METHODS

TOP ABSTRACT MATERIALS AND METHODS RESULTS DISCUSSION LITERATURE CITED

 
    Subjects. This study was based on the baseline data from 362 men (109 Blacks and 253 Whites) and 462 women (201 Blacks and 261 Whites) from the HERITAGE Family Study. Race classification was based on self-report, i.e., whether the subjects considered themselves as Black or White.

The study design and inclusion criteria of the HERITAGE Family Study were described previously (18). Briefly, eligible individuals were required to be between the ages of 17 and 65 y, healthy but sedentary (no regular strenuous physical activity over the previous 6 mo), with BMI < 40 kg/m² and systolic/diastolic blood pressures 159/99 mm Hg. A few participants with BMIs > 40 kg/m² (n = 6), who were considered by the supervising physician to be healthy and able to complete the required exercise training program, were included. Further, individuals with confirmed or possible coronary heart disease, chronic or recurrent respiratory problems, and uncontrolled endocrine and metabolic disorders (including diabetes, hypoglycemia, and the use of antihypertensive or lipid-lowering drugs) were excluded. The study protocol was approved by each of the Institutional Review Boards of the HERITAGE Family Study research consortium. Written informed consent was obtained from all participants. Although the HERITAGE Family Study involved a 20-wk aerobic exercise training program, only data from the baseline in the sedentary state are considered here.

    Anthropometric and adiposity measurements. A series of anthropometric measurements were obtained. Standing height and body mass were measured to the nearest 0.1 cm and 0.1 kg using a stadiometer and a balance beam scale, respectively. BMI (kg/m²) was calculated as body weight divided by height squared. Skinfold thickness was measured at biceps, triceps, subscapular, suprailiac, abdominal, midaxillary, medial calf, and thigh skinfold sites to 0.1 mm accuracy using a Harpenden skinfold caliper (Quinton Instruments, #03496–001). The 8 skinfold thicknesses were summed (SF8) to evaluate the overall degree of subcutaneous fat (19). Waist circumference (WC) was measured to 0.1 cm accuracy using a fiberglass anthropometric tape (Grafco Fiberglass Tape, Model 17–1340-2). All measurements were taken in duplicate. A third measurement was taken if the first 2 measurements differed by more than a predetermined amount, i.e., >0.5 cm for height, >200 g for body mass, >1.0 mm for skinfolds, and >1.0 cm for circumference. When it was necessary to take a third measurement, the 2 closest measurements were averaged. When the third measurement fell equally between the first 2, all 3 were averaged. The measurements were taken in accordance with procedures recommended by Lohman et al. (20) as defined elsewhere (21).

Underwater weighing was performed to determine total body density, which was converted to percentage body fat (%FAT) using the equation of Siri (22) for White men, Lohman (23) for White women, Schutte et al. (24) for Black men, and Ortiz et al. (25) for Black women. A correction was made for residual lung volume by the oxygen-dilution method (26) at 3 clinical centers, and the helium-dilution technique (27) at the 4th clinical center.

Abdominal fat (total, visceral and subcutaneous) was measured by computed tomography scans (28). Subjects were examined in the supine position with their arms stretched above their heads. The abdominal scan was obtained at the level of the fourth and fifth lumbar vertebrae. The attenuation interval used in the quantification of the areas of adipose tissue was between –190 and –30 Hounsfield units. The abdominal visceral fat (AVF) area was defined by drawing a line within the muscle wall surrounding the abdominal cavity. The abdominal subcutaneous fat (ASF) area was calculated by subtracting the amount of visceral fat from the total abdominal fat area (TAF).

All measurement protocols were standardized and carefully monitored using an extensive quality assurance and quality control program (29). The reproducibility of adiposity measures was high, with intraclass correlations for repeated measures 0.95 (21).

    Dietary record. Daily energy, macronutrient, and micronutrient intakes were collected using the Willett FFQ (30). The questionnaire provided data on a subject’s usual eating habits, dietary supplements, food items in 5 major food groups, food preparation, seasonings, and favorite foods. The questionnaire also included quantitative data on intake of nutrients and related substances, such as caffeine and alcohol over the past year. The questionnaire was self-administered by the subjects and reviewed with the subject by an interviewer for completeness. The scoring of the questionnaires and calculation of nutrient intake were done at Channing Laboratory at Harvard University, where the questionnaire was developed and validated. A study on the reproducibility and validity of the FFQ was documented elsewhere (30). In brief, the intraclass correlations between 2 measurements at an interval of 1 y for nutrient intake estimated by the Willett questionnaire were similar to those computed from a 7-d diet record. Correlation coefficients between the mean energy-adjusted intakes from 1-wk diet records and those from the questionnaire completed after the diet records ranged from 0.36 to 0.75. It should be noted that the study was based on women only (34–59 y), and, although micronutrient intake (vitamin A, B, and C) was included, no direct validation results on Ca²⁺ intake in particular were reported.

    Health habits. Subjects completed a health habit questionnaire, including questions on smoking, alcohol consumption, and educational status, the ARIC-Baecke Physical Activity Questionnaire (31) and a menstrual cycle history, including questions on the use of oral contraceptives, menopausal status, and hormone replacement therapy.

    Statistical analyses. All analyses were performed with the SAS Statistical Software (SAS Institute, Version 8.2). Data were analyzed separately by sex and race. Ca²⁺ intake was expressed relative to total energy consumed (mg/1000 kcal) (1 kcal = 4.186 kJ) to minimize the effect of total food intake. For analyses, subjects were divided into tertiles (low, intermediate, high) according to the energy-adjusted Ca²⁺ intake.

Adiposity among the 3 groups was compared by one-way analyses of covariance, controlling for age, generation, and height. Other covariates (physical activity, educational status, smoking, macronutrient intake, menstrual and hormonal status) that could potentially affect adiposity were included in the analyses to test their effect on the Ca²⁺ intake-adiposity relation. Possible interactions between Ca²⁺ intake and covariates were tested by including main effects and interaction terms in the same model. Furthermore, measures of adiposity were regressed against the energy-adjusted Ca²⁺ intake to test for a linear trend, while controlling for age, generation, and height.

Because the study was designed as a family study, subjects were related within families. However, because data for men and women were analyzed separately within race, the effect on the analysis of this relatedness among subjects was less than it would have been if whole nuclear families were considered. Nonetheless, because 71% of families had more than 1 family member even after classification by sex and race, both the ANOVAs and the regression analyses were performed using the SAS MIXED model procedure. A mixed model is a generalization of ANOVA and regression that estimates group differences and regression coefficients while accounting for multiple levels of analysis. In this study, there were 2 levels, families and subjects within family. The method assumed that the same degree of dependency existed among all subjects within a family. SE of the differences and regression coefficients were computed using the asymptotically consistent (i.e., unbiased in large samples) sandwich estimator (32,33).

Finally, the prevalence of overweight and obesity (BMI 25 kg/m²) and of obesity only (BMI 30 kg/m²) among the 3 tertile groups was compared by a ²-likelihood ratio test. The Cochran-Armitage test was performed to test for a trend across the 3 groups. The level used to identify significant differences was 0.05.

	RESULTS

TOP ABSTRACT MATERIALS AND METHODS RESULTS DISCUSSION LITERATURE CITED

 
White men were slightly taller and had significantly more AVF than Black men. Black women had a significantly higher BMI, and more total (%FAT, SF8) and abdominal fat (TAF, ASF, WC) than White women (Table 1).

The strongest inverse associations between Ca²⁺ intake and body composition and abdominal adiposity were found in Black men and White women (Table 2 and Table 3).

In White women, the energy-adjusted Ca²⁺ intake was negatively correlated (P 0.03) with BMI, %FAT, TAF, AVF, and ASF. In contrast, Black women in the high Ca²⁺ intake group tended to have a higher BMI (P = 0.05) and WC (P = 0.1) and had significantly more FFM (P = 0.02) compared with women in the low Ca²⁺ intake group. No associations were found between other measures of adiposity and Ca²⁺ intake.

When comparing the slope of the regression equations, we found the association between energy-adjusted Ca²⁺ intake and body composition to be significantly different (0.002 < P < 0.05) between Blacks and Whites for all measures, except for FFM (men and women) and SF8 (women). In Blacks, the associations were significantly different (0.004 < P < 0.02) between men and women, with the exception of FFM and SF8. In Whites, significantly different associations for men and women were found for TAF (P = 0.03) and ASF (P = 0.04).

Total energy intake and the intake of other macronutrients, both in absolute weight or in energy %, did not differ across the 3 Ca²⁺ intake groups, with the exception of a higher protein intake (P = 0.003) in the high Ca²⁺ intake group in White men and a lower fat intake (P = 0.004) in the high Ca²⁺ intake group in White women. However, including the macronutrients as covariates in the analyses did not change the association between Ca²⁺ intake and adiposity (results not shown). Including such covariates as physical activity, educational status, smoking, menopause, and hormonal replacement therapy to the ANCOVA or into the regression analysis did not change the results.

In Black men, the prevalence of overweight (BMI 25 kg/m²) decreased significantly (P = 0.018) with increased Ca²⁺ intake (Fig. 1). The same tendency (P = 0.08) was observed for the prevalence of obesity (BMI 30 kg/m²), with only 11% of Black men in the high Ca²⁺ intake group being obese compared with 28% in low Ca²⁺ intake group. A similar tendency (P = 0.15) was observed for the prevalence of obesity in White men, but not for the prevalence of overweight (Fig. 1).

View larger version (21K): [in this window] [in a new window]   FIGURE 1 Prevalence (%) of obesity (BMI 30 kg/m2) and overweight (BMI 25 kg/m2) by tertiles of energy-adjusted Ca2+ intake (Low, Intermediate, High) in Black (A) and White (B) men. Cochran-Armitage test for trend: BMI 25 kg/m2: P = 0.018 for Blacks and P = 0.82 for Whites, BMI 30 kg/m2: P = 0.08 for Blacks and P = 0.015 for Whites.

View larger version (22K): [in this window] [in a new window]   FIGURE 2 Prevalence (%) of obesity (BMI 30 kg/m2) and overweight (BMI 25 kg/m2) by tertiles of energy-adjusted Ca2+ intake (Low, Intermediate, High) in Black (A) and White (B) women. Cochran-Armitage test for trend: BMI 25 kg/m2: P = 0.07 for Blacks and P = 0.17 for Whites, BMI 30 kg/m2: P = 0.003 for Blacks and P = 0.85 for Whites.

	DISCUSSION

TOP ABSTRACT MATERIALS AND METHODS RESULTS DISCUSSION LITERATURE CITED

 
Our data showed that total Ca²⁺ intake was inversely associated with measures of adiposity in Black men and White women. Subjects with a high energy-adjusted Ca²⁺ intake had lower values for BMI, %FAT, SF8, TAF, AVF, ASF, and WC. In White men, a negative association was found only for %FAT, whereas the association with FFM was positive in Black women. In addition, the prevalence of overweight and obesity in Black men was highest in subjects with the lowest energy-adjusted Ca²⁺ intake. The same tendencies were observed in White men and women, respectively. In contrast, the prevalence of obesity and overweight in Black women was highest in the group with a high energy-adjusted Ca²⁺ intake.

These findings are, in part consistent with the growing body of literature supporting the hypothesis that low Ca²⁺ intake may increase overall adiposity and abdominal fat mass. Inverse associations have been reported in Whites (3,4,9–11,35) and Blacks (1,7,9,35). Furthermore, most associations were found with BMI and overall fat mass, but there also were some with abdominal adiposity (4,6). However, not all studies found an inverse association between Ca²⁺ intake and adiposity. Barr (36) reviewed the results of 26 randomized studies in which dairy product intake (n = 9) or Ca²⁺ intake (n = 17) was experimentally supplemented. Only 1 study found greater weight loss in the Ca²⁺-supplemented group, whereas no differences in body composition were found between the control and supplemented groups in the remaining studies. However, it is noteworthy that only 3 of the 26 studies included men and only 1 study was conducted in premenopausal women; all others were performed in children and adolescents or in postmenopausal women and older men. These findings suggest that the effect of Ca²⁺ intake on adiposity may be present only in young and middle-aged premenopausal adults. In a recent study, data of three 25-wk randomized double-blind, placebo-controlled trials were combined (37). One hundred women received 1000 mg/d Ca²⁺ supplementation (n = 46) or placebo (n = 54) during a weight loss intervention. There was no significant difference in body weight (placebo –6.2 kg vs. Ca²⁺ –7.0, P = 0.43) or fat mass (placebo –4.5 kg vs. Ca²⁺ –5.5, P = 0.23) change between the placebo and the Ca²⁺-supplemented groups. However, that study lacked power because post-hoc analyses showed that a study requires 500 subjects/group to attain 80% power to detect a 0.8-kg difference in weight change.

The sex differences that were observed in both Whites and Blacks are of interest in the present study. In Whites, the inverse association was present in women for most measures of adiposity, whereas it was observed only for %FAT in men. Similar sex differences were reported for the Québec Family Study (4), in which subjects were categorized in 3 groups of Ca²⁺ intake. Women in the low Ca²⁺ intake group (<600 mg/d) had significantly higher values for body weight, %FAT, fat mass, BMI, WC, and TAF than the other 2 groups (600–1000 mg/d and >1000 mg/d). No associations were found in men. Sex differences were also reported in the NHANES III study in which subjects were categorized into quartiles for Ca²⁺ intake and for body fat. Women had a strong reduction in the risk of being in the highest quartile of body fat with increasing Ca²⁺ intake, whereas no association was found for men (7).

In contrast to Whites, the inverse association between Ca²⁺ intake and body composition in Blacks was present only in men, whereas no association was found in women. The influence of Ca²⁺ intake on adiposity in Blacks has not been widely studied, but inverse associations were reported for both men and women. In a clinical trial on the antihypertensive effect of Ca²⁺ intake in obese African-Americans (7), Ca²⁺ intake was increased from 447 mg/d to 1029 mg/d by providing supplemental yogurt for 12 mo. In men, body fat decreased by 4.9 kg over 1 y; the results in women were not reported. A study on lactose intolerance in premenopausal African-American women reported a significantly lower Ca²⁺ intake in lactose-intolerant women (388 mg/d) compared with lactose-tolerant women (763 mg/d) (1). The lactose-intolerant women had a significantly higher BMI, and Ca²⁺ intake was negatively associated with BMI (r² = 0.47). The CARDIA study included both men and women, and Blacks and Whites (35). Dairy consumption was inversely associated with all components of the metabolic syndrome, including obesity. For each increase in dairy serving/d, the odds for obesity decreased by 20%. This association was similar for Blacks and Whites and for men and women.

In addition to the sex difference, we found that the association between Ca²⁺ intake and adiposity was significantly different between Blacks and Whites, particularly in women. A consistent inverse association was found in White women, whereas the association in Black women, unexpectedly, tended to be positive for BMI (P = 0.05), WC (P = 0.10), and for the prevalence of overweight (P = 0.07) and obesity (P = 0.003). Race differences have also been reported in another study in which African-American and White women were compared (9). Similar to the present findings, significant negative associations (P < 0.05) were found between energy-adjusted Ca²⁺ intake and BMI and %FAT (partial correlation: r = –0.21 for BMI and r = –0.25 for %FAT) in White women. In contrast, no associations were found with either BMI or %FAT in African-American women. The observed race difference was significant for BMI (P = 0.04) and suggestive for %FAT (P = 0.07). Differences in diet and lifestyle between Black and White women, other than those controlled for in the present study, may underlie the ethnic differences.

Ca²⁺ intake was not only associated with overall adiposity (BMI, %FAT), but a strong inverse association was found with abdominal adiposity (TAF, AVF, ASF, and WC) in Black men and White women. Similar results were reported for women of the Québec Family Study; subjects in the lowest Ca²⁺ intake group (<600 mg/d) had significantly more TAF and a larger WC than women whose Ca²⁺ intake was higher than 600 mg (4). Along the same line, during a 6-mo clinical trial in obese patients consuming energy deficit diets, the low Ca²⁺ diet (400–500 mg/d) resulted in a 5.3% reduction in trunk fat, whereas the high Ca²⁺ diets (supplement and dairy, respectively) resulted in a 12.9 to 14% reduction (6).

It was suggested that the effect of Ca²⁺ intake is dependent on achieving a threshold concentration (11). Our results did not support this because adiposity measures were linearly related to increasing Ca²⁺ intake in Black men and in Whites. It could be argued that the Ca²⁺ intake in Black women was too low to elicit an effect on body composition. However, Black men had about the same range of Ca²⁺ intake and did show significant negative associations with adiposity measures.

Data in humans (6,8,11) and mice (12) suggest that dairy sources of calcium exert stronger effects than nondairy sources. Unfortunately, the questionnaire used in the present study did not allow for separation between the 2 sources of Ca²⁺ intake.

Ca²⁺ intake reached the AI (1000 mg/d) only in Whites (38) and was significantly higher in Whites than in Blacks (see Table 1). This is in agreement with the findings of others (5,9). However, the reported mean Ca²⁺ intake in the present study was higher compared with the results of the Nationwide Food Consumption Survey (5) from 1987 to 1988 (non-Hispanic Blacks: 592 mg/d, non-Hispanic Whites: 765 mg/d) and compared with a more recent study in African-American (518 mg/d) and White women (758 mg/d) (9). These differences may be due to our relatively healthy study sample or to differences in dietary intake assessment methods.

The strengths of the present study are the large numbers of Black as well as White subjects, the quality control of the data, and the variety of available adiposity measures. However, there are some limitations that should be mentioned. First, like other studies that have examined the Ca²⁺ intake-adiposity relation, the HERITAGE Family Study was not designed primarily to examine the effects of Ca²⁺ intake on adiposity. Randomized controlled intervention trials designed to investigate the Ca²⁺ intake-body composition relation would provide more compelling data than the current study. Second, the limitations of self-reported dietary intake are well recognized (39). Although the FFQ used in the present study has a reasonable reproducibility and validity (30), it may not be the best method with which to assess Ca²⁺ intake. Third, we recognize that cross-sectional analyses do not establish whether Ca²⁺ intake exerts a direct effect on body composition and adiposity. It is possible that Ca²⁺ intake serves only as a marker for other nutrients that directly modulate total and abdominal adiposity.

In summary, the present study suggests that Ca²⁺ intake is inversely associated with measures of adiposity, particularly in Black men and White women. We conclude that Ca²⁺ intake may play a role in the regulation of energy balance, although the mechanisms remain to be determined. However, the observation of sex and ethnic differences indicates that the results should be interpreted with caution. Large clinical trials should be undertaken to establish whether there is a causal association between Ca²⁺ intake and body weight regulation.

	ACKNOWLEDGMENTS

 
Thanks are expressed to Walter C. Willett and collaborators of the Harvard School of Public Health for their help with the scoring of the Food Frequency Questionnaire. Thanks are also expressed to Jacques Gagnon for his careful management of the Food Frequency Questionnaire on behalf of the HERITAGE consortium.

	FOOTNOTES

 
¹ Presented in poster form at the Annual Scientific Meeting of the North American Association for the Study of Obesity, October 2003, Ft. Lauderdale, FL [Loos, R.J.F., Rankinen, T., Leon, A. S., Rao, D. C., Skinner, J. S, Wilmore, J. H & Bouchard, C. (2003) Calcium intake and body composition in the HERITAGE Family Study. Obes. Res. 11: A145 (abs.)].

² The HERITAGE Family Study is supported by the National Heart, Lung and Blood Institute through grants HL-45670 (C.B.), HL-47323 (A.S.L.), HL-47327 (J.S.S.), HL-47317 (D.C.R.), and HL-47321 (J.H.W.). Partially supported by the Henry L. Taylor Endowed Professorship in Exercise and Health Enhancement (A.S.L.). Partially supported by the George A. Bray Chair in Nutrition (C.B.). Supported by a postdoctoral fellowship from the American Heart Association, Southeast affiliate (no. 0325355B) (R.L.).

⁴ Abbreviations used: AI, adequate intake; ANCOVA, analysis of covariance; ASF, abdominal subcutaneous fat; AVF, abdominal visceral fat; %FAT, percentage of body fat; FFM, fat-free mass; NHANES, National Health and Nutrition Examination Survey; SF8, sum of 8 skinfold thicknesses; TAF, total abdominal fat; WC, waist circumference.

Manuscript received 3 February 2004. Initial review completed 22 February 2004. Revision accepted 4 May 2004.

	LITERATURE CITED

TOP ABSTRACT MATERIALS AND METHODS RESULTS DISCUSSION LITERATURE CITED

 

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